Aguirre-Urreta, M. I., & Hu, J. (2019). Detecting common method bias: Performance of the Harman’s single-factor test. Data Base, 50(2), 45–70. https://doi.org/10.1145/3330472.3330477

Article  Google Scholar 

Ashrafioun, L., McCarthy, A., & Rosenberg, H. (2012). Assessing the impact of cue exposure on craving to gamble in university students. Journal of gambling studies, 28, 363–375. https://doi.org/10.1007/s10899-011-9262-0

Article  PubMed  Google Scholar 

Bin, W., Gai, L., & Yue, Hu (2021) Research on health lottery playing of sport lottery players. China Social Sciences Press

Blaszczynski, A., & Nower, L. (2002). A pathways model of problem and pathological gambling. Addiction, 97(5), 487–499. https://doi.org/10.1046/J.1360-0443.2002.00015.X

Article  PubMed  Google Scholar 

Brochado, A., Santos, M., Oliveira, F., & Esperança, J. (2018). Gambling behavior: Instant versus traditional lotteries. Journal of Business Research, 88, 560–567. https://doi.org/10.1016/J.JBUSRES.2018.01.001

Article  Google Scholar 

Caselli, G., Fernie, B., Canfora, F., Mascolo, C., Ferrari, A., Antonioni, M. ,..., & Spada, M. M. (2018). The metacognitions about gambling questionnaire: Development and psychometric properties. Psychiatry Research, 261, 367-374. https://doi.org/10.1016/j.psychres.2018.01.018

Caselli, G., & Spada, M. M. (2015). Desire thinking: What is it and what drives it? Addictive Behaviors, 44, 71–79. https://doi.org/10.1016/j.addbeh.2014.07.021

Article  PubMed  Google Scholar 

Casey, L. M., Oei, T. P. S., Melville, K. M., et al. (2008). Measuring self-efficacy in gambling: The gambling refusal self-efficacy questionnaire. Journal of Gambling Studies, 24, 229–246. https://doi.org/10.1007/s10899-007-9076-2

Article  PubMed  Google Scholar 

Chambers, R. A., & Potenza, M. N. (2003). Neurodevelopment, impulsivity, and adolescent gambling. Journal of Gambling Studies, 19, 53–84. https://doi.org/10.1023/A:1021275130071

Article  PubMed  Google Scholar 

Chinese Academy of Social Sciences. (2022). Report on welfare lottery in China. Social Sciences Academic Press.

Google Scholar 

Ciccarelli, M., Cosenza, M., Nigro, G., & D’Olimpio, F. (2022). Does craving increase gambling severity? The role of attentional bias. Journal of Affective Disorders, 317, 403–408. https://doi.org/10.1016/j.jad.2022.08.068

Article  PubMed  Google Scholar 

Clark, L., & Wohl, M. J. A. (2022). Langer’s illusion of control and the cognitive model of disordered gambling. Addiction (Abingdon, England), 117(4), 1146–1151. https://doi.org/10.1111/add.15649

Article  PubMed  Google Scholar 

Cowley, E., Briley, D. A., & Farrell, C. (2015). How do gamblers maintain an illusion of control? Journal of Business Research, 68(10), 2181–2188. https://doi.org/10.1016/J.JBUSRES.2015.03.018

Article  Google Scholar 

Dang, L., Chen, J. H., Zhou, H., Spada, M. M., & Wu, A. M. (2022). Validation of the metacognitions about online gaming scale (MOGS) among Chinese gamers. Addictive Behaviors, 129, 107255. https://doi.org/10.1016/j.addbeh.2022.107255

Article  PubMed  Google Scholar 

Dowling, N. A., Suomi, A., Jackson, A. C., & Lavis, T. (2016a). Problem gambling family impacts: Development of the problem gambling family impact scale. Journal of gambling studies, 32, 935–955. https://doi.org/10.1007/s10899-015-9582-6

Article  CAS  PubMed  Google Scholar 

Dowling, N. A., Merkouris, S. S., & Lorains, F. K. (2016b). Interventions for comorbid problem gambling and psychiatric disorders: Advancing a developing field of research. Addictive Behaviors, 58, 21–30. https://doi.org/10.1016/j.addbeh.2016.02.012

Article  CAS  PubMed  Google Scholar 

Ferris, J., & Wynne, H. J (2001) The Canadian problem gambling index final report. Ottawa, ON: Canadian Centre on Substance Abuse

Fontaine, M., Floch, V. L., & Lemercier, C. (2023a). Gambling and ageing: Less illusion but more risk. Ageing & Society, 43(3), 556–575. https://doi.org/10.1017/S0144686X21000714

Article  Google Scholar 

Fontaine, M., Lemercier, C., Bonnaire, C., Giroux, I., Py, J., Varescon, I., & Le Floch, V. (2023b). Gambling and aging: An overview of a risky behavior. Behavioral Sciences, 13(6), 437. https://doi.org/10.3390/bs13060437

Article  PubMed  PubMed Central  Google Scholar 

General Administration of Sport of China. (2022). China sports lottery social responsibility report. https://www.lottery.gov.cn/zrcpv2/zrbg/

Goodie, A. S., & Fortune, E. E. (2013). Measuring cognitive distortions in pathological gambling: Review and meta-analyses. Psychology of Addictive Behaviors, 27(3), 730–743. https://doi.org/10.1037/a0031892

Article  PubMed  Google Scholar 

Hamonniere, T., & Varescon, I. (2018). Metacognitive beliefs in addictive behaviours: A systematic review. Addictive Behaviors, 85, 51–63. https://doi.org/10.1016/j.addbeh.2018.05.018

Article  PubMed  Google Scholar 

Hawker, C. O., Merkouris, S. S., Youssef, G. J., & Dowling, N. A. (2021). Exploring the associations between gambling cravings, self-efficacy, and gambling episodes: An ecological momentary assessment study. Addictive Behaviors, 112, 106574. https://doi.org/10.1016/j.addbeh.2020.106574

Article  CAS  PubMed  Google Scholar 

Hjemdal, O., Stiles, T., & Wells, A. (2013). Automatic thoughts and meta-cognition as predictors of depressive or anxious symptoms: A prospective study of two trajectories. Scandinavian journal of psychology, 54(2), 59–65. https://doi.org/10.1111/sjop.12010

Article  PubMed  Google Scholar 

Hu, L. T., & Bentler, P. M. (1999). Cutoff criteria for fft indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling, 6(1), 1–55. https://doi.org/10.1080/10705519909540118

Article  Google Scholar 

Hu, Y., Wang, B., Ma, H., & Li, G. (2018). Fate control and problem lottery gambling: The perspective of meaning maintenance. Acta Psychologica Sinica, 50(5), 549–557. https://doi.org/10.3724/SP.J.1041.2018.00549

Article  Google Scholar 

Iliceto, P., Fino, E., Schiavella, M., & Oei, T. P. (2021). Psychometric properties of the Italian versions of the gambling urge scale (GUS) and the gambling refusal self-efficacy questionnaire (GRSEQ). International Journal of Mental Health and Addiction, 19, 207–226. https://doi.org/10.1007/s11469-019-00167-1

Article  Google Scholar 

Janssen, A. G., Kennair, L. E. O., Hagen, R., Hjemdal, O., Havnen, A., & Solem, S. (2020). Positive and negative metacognitions about alcohol: Validity of the Norwegian PAMS and NAMS. Addictive Behaviors, 108, 106466. https://doi.org/10.1016/j.addbeh.2020.106466

Article  PubMed  Google Scholar 

Jauregui, P., Urbiola, I., & Estevez, A. (2016). Metacognition in pathological gambling and its relationship with anxious and depressive symptomatology. Journal of Gambling Studies, 32, 675–688. https://doi.org/10.1007/s10899-015-9552-z

Article  PubMed  Google Scholar 

King, D. L., & Delfabbro, P. H. (2016). Early exposure to digital simulated gambling: A review and conceptual model. Computers in Human Behavior, 55, 198–206. https://doi.org/10.1016/j.chb.2015.09.012

Article  Google Scholar 

Kuoppamäki, S. M., Kääriäinen, J., & Lind, K. (2014). Examining gambling-related crime reports in the National Finnish Police Register. Journal of Gambling Studies, 30, 967–983. https://doi.org/10.1007/s10899-013-9393-6

Article  PubMed  Google Scholar 

Lam, D. (2014). Chopsticks and gambling. Transaction Publishers.

Google Scholar 

Li, H., Wu, Y., Li, A. M., & Chen, Y. (2011). Current situation investigation of problem gamblers of Chinese sports lottery. Journal of Chengdu Sport University, 37(5), 9–13. https://doi.org/10.15942/j.jcsu.2011.05.003

Article  CAS  Google Scholar 

Lian, L., Bin, W., Gai, L., & Yue, S. (2020). Negative buffering and positive promotion mechanism of purchasing health of sports lottery consumers: Under the social ecosystem theory. Journal of Tianjin University of Sport, 35(1), 48–55. https://doi.org/10.13297/j.cnki.issn1005-0000.2020.01.009

Article  CAS  Google Scholar 

Lopez-Gonzalez, H., Griffiths, M. D., & Estévez, A. (2020). In-play betting, sport broadcasts, and gambling severity: A survey study of Spanish sports bettors on the risks of betting on sport while watching it. Communication & Sport, 8(1), 50–71. https://doi.org/10.1177/2167479518816338

Article  Google Scholar 

Mallorquí-Bagué, N., Vintró-Alcaraz, C., Verdejo-García, A., Granero, R., Fernández-Aranda, F., Magaña, P. ,..., & Jiménez-Murcia, S. (2019). Impulsivity and cognitive distortions in different clinical phenotypes of gambling disorder: Profiles and longitudinal prediction of treatment outcomes. European Psychiatry, 61, 9-16. https://doi.org/10.1016/j.eurpsy.2019.06.006

Mansueto, G., Pennelli, M., De Palo, V., Monacis, L., Sinatra, M., & De Caro, M. F. (2016). The role of metacognition in pathological gambling: A mediation model. Journal of Gambling Studies, 32, 93–106. https://doi.org/10.1007/s10899-014-9519-5

Article  PubMed  Google Scholar 

Michalczuk, R., Bowden-Jones, H., Verdejo-Garcia, A., & Clark, L. (2011). Impulsivity and cognitive distortions in pathological gamblers attending the UK National Problem Gambling